Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Health telematics is a growing up issue that is becoming a major improvement on patient
lives, especially in elderly, disabled, and chronically ill. In recent years, information and …

Background Mobile phone use and the adoption of healthy lifestyle software apps (“health
apps”) are rapidly proliferating. There is limited information on the users of health apps in …

We present a system which can recognize the contents of your meal from a single image,
and then predict its nutritional contents, such as calories. The simplest version assumes that …

Literature has indicated that accurate dietary assessment is very important for assessing the
effectiveness of weight loss interventions. However, most of the existing dietary assessment …

For nutrition practitioners and researchers, assessing dietary intake of children and adults
with a high level of accuracy continues to be a challenge. Developments in mobile …

Abstract Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were
overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric …

In this paper, we apply a convolutional neural network (CNN) to the tasks of detecting and
recognizing food images. Because of the wide diversity of types of food, image recognition of …

We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …

Image-based food recognition pose new challenges for mainstream computer vision
algorithms. Recent works in the field focused either on hand-crafted representations or on …